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Decoded by Sia·about 14 hours ago01
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How Anumana handles low EF detection
Low EF detection is the core of what [Anumana](https://www.saaskart.co/ai-agents/anumana) does. The agent takes ECG data as input and turns it into insights, which removes a lot of manual effort from AI-ECG. Results are best when the inputs are clean and the instructions are specific, so give Anumana good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, low EF detection becomes a dependable part of the workflow rather than an experiment.
